AI Engineer Intern

Job Description

• Build systems that integrate LLMs, optimization solvers, data processing, code execution, and user-facing workflows

• Develop backend services, APIs, task execution modules, data pipelines, and system components

• Build frontend interfaces, demos, dashboards, and interactive workflows for users

• Implement LLM-based workflows for problem understanding, code generation, debugging, result explanation, and user interaction

• Integrate optimization tools and solvers such as Gurobi, CPLEX, Pyomo, OR-Tools, CVXPY, or related frameworks

• Build safe and controllable environments for generated code execution, testing, and validation

• Support end-to-end product development, from requirement understanding and technical design to implementation, testing, deployment, and iteration

• Improve system reliability, usability, maintainability, scalability, and performance

• Work closely with research and business teams to translate technical ideas into products

Job Requirement

• Candidates should be pursuing a Bachelor's degree or Master's degree in relevant fields

• Strong software engineering skills and hands-on development experience

• The ability to build end-to-end working systems is highly valued

• Experience with backend development, API design, databases, asynchronous tasks, testing, debugging, and deployment

• Familiarity with tools such as FastAPI, Flask, Django, Node.js, React, TypeScript, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, cloud services, or CI/CD tools is a plus

• Experience with LLM tools and AI-assisted coding tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, LangChain, LlamaIndex, OpenAI API, Anthropic API, or related tools

• Ability to use LLMs in the loop for coding, debugging, testing, refactoring, documentation, and rapid prototyping

• Experience with optimization, operations research, data analytics, or machine learning engineering is a plus